Merge branch 'main' into gl/fix/ensure-complete-tool-signature

lib/crewai/tests/agents/test_agent.py

@@ -147,7 +147,7 @@ def test_custom_llm():
     assert agent.llm.model == "gpt-4"
 
 
-@pytest.mark.vcr(filter_headers=["authorization"])
+@pytest.mark.vcr()
 def test_agent_execution():
     agent = Agent(
         role="test role",
@@ -166,7 +166,7 @@ def test_agent_execution():
     assert output == "1 + 1 is 2"
 
 
-@pytest.mark.vcr(filter_headers=["authorization"])
+@pytest.mark.vcr()
 def test_agent_execution_with_tools():
     @tool
     def multiplier(first_number: int, second_number: int) -> float:
@@ -211,7 +211,7 @@ def test_agent_execution_with_tools():
     assert received_events[0].tool_args == {"first_number": 3, "second_number": 4}
 
 
-@pytest.mark.vcr(filter_headers=["authorization"])
+@pytest.mark.vcr()
 def test_logging_tool_usage():
     @tool
     def multiplier(first_number: int, second_number: int) -> float:
@@ -245,7 +245,7 @@ def test_logging_tool_usage():
     assert agent.tools_handler.last_used_tool.arguments == tool_usage.arguments
 
 
-@pytest.mark.vcr(filter_headers=["authorization"])
+@pytest.mark.vcr()
 def test_cache_hitting():
     @tool
     def multiplier(first_number: int, second_number: int) -> float:
@@ -325,7 +325,7 @@ def test_cache_hitting():
     assert received_events[0].output == "12"
 
 
-@pytest.mark.vcr(filter_headers=["authorization"])
+@pytest.mark.vcr()
 def test_disabling_cache_for_agent():
     @tool
     def multiplier(first_number: int, second_number: int) -> float:
@@ -389,7 +389,7 @@ def test_disabling_cache_for_agent():
         read.assert_not_called()
 
 
-@pytest.mark.vcr(filter_headers=["authorization"])
+@pytest.mark.vcr()
 def test_agent_execution_with_specific_tools():
     @tool
     def multiplier(first_number: int, second_number: int) -> float:
@@ -412,7 +412,7 @@ def test_agent_execution_with_specific_tools():
     assert output == "The result of the multiplication is 12."
 
 
-@pytest.mark.vcr(filter_headers=["authorization"])
+@pytest.mark.vcr()
 def test_agent_powered_by_new_o_model_family_that_allows_skipping_tool():
     @tool
     def multiplier(first_number: int, second_number: int) -> float:
@@ -438,7 +438,7 @@ def test_agent_powered_by_new_o_model_family_that_allows_skipping_tool():
     assert output == "12"
 
 
-@pytest.mark.vcr(filter_headers=["authorization"])
+@pytest.mark.vcr()
 def test_agent_powered_by_new_o_model_family_that_uses_tool():
     @tool
     def comapny_customer_data() -> str:
@@ -464,7 +464,7 @@ def test_agent_powered_by_new_o_model_family_that_uses_tool():
     assert output == "42"
 
 
-@pytest.mark.vcr(filter_headers=["authorization"])
+@pytest.mark.vcr()
 def test_agent_custom_max_iterations():
     @tool
     def get_final_answer() -> float:
@@ -509,7 +509,7 @@ def test_agent_custom_max_iterations():
     assert call_count == 2
 
 
-@pytest.mark.vcr(filter_headers=["authorization"])
+@pytest.mark.vcr()
 @pytest.mark.timeout(30)
 def test_agent_max_iterations_stops_loop():
     """Test that agent execution terminates when max_iter is reached."""
@@ -546,7 +546,7 @@ def test_agent_max_iterations_stops_loop():
     )
 
 
-@pytest.mark.vcr(filter_headers=["authorization"])
+@pytest.mark.vcr()
 def test_agent_repeated_tool_usage(capsys):
     """Test that agents handle repeated tool usage appropriately.
 
@@ -595,7 +595,7 @@ def test_agent_repeated_tool_usage(capsys):
     )
 
 
-@pytest.mark.vcr(filter_headers=["authorization"])
+@pytest.mark.vcr()
 def test_agent_repeated_tool_usage_check_even_with_disabled_cache(capsys):
     @tool
     def get_final_answer(anything: str) -> float:
@@ -638,7 +638,7 @@ def test_agent_repeated_tool_usage_check_even_with_disabled_cache(capsys):
     )
 
 
-@pytest.mark.vcr(filter_headers=["authorization"])
+@pytest.mark.vcr()
 def test_agent_moved_on_after_max_iterations():
     @tool
     def get_final_answer() -> float:
@@ -665,7 +665,7 @@ def test_agent_moved_on_after_max_iterations():
     assert output == "42"
 
 
-@pytest.mark.vcr(filter_headers=["authorization"])
+@pytest.mark.vcr()
 def test_agent_respect_the_max_rpm_set(capsys):
     @tool
     def get_final_answer() -> float:
@@ -699,7 +699,7 @@ def test_agent_respect_the_max_rpm_set(capsys):
         moveon.assert_called()
 
 
-@pytest.mark.vcr(filter_headers=["authorization"])
+@pytest.mark.vcr()
 def test_agent_respect_the_max_rpm_set_over_crew_rpm(capsys):
     from unittest.mock import patch
 
@@ -737,7 +737,7 @@ def test_agent_respect_the_max_rpm_set_over_crew_rpm(capsys):
         moveon.assert_not_called()
 
 
-@pytest.mark.vcr(filter_headers=["authorization"])
+@pytest.mark.vcr()
 def test_agent_without_max_rpm_respects_crew_rpm(capsys):
     from unittest.mock import patch
 
@@ -797,7 +797,7 @@ def test_agent_without_max_rpm_respects_crew_rpm(capsys):
         moveon.assert_called_once()
 
 
-@pytest.mark.vcr(filter_headers=["authorization"])
+@pytest.mark.vcr()
 def test_agent_error_on_parsing_tool(capsys):
     from unittest.mock import patch
 
@@ -840,7 +840,7 @@ def test_agent_error_on_parsing_tool(capsys):
     assert "Error on parsing tool." in captured.out
 
 
-@pytest.mark.vcr(filter_headers=["authorization"])
+@pytest.mark.vcr()
 def test_agent_remembers_output_format_after_using_tools_too_many_times():
     from unittest.mock import patch
 
@@ -875,7 +875,7 @@ def test_agent_remembers_output_format_after_using_tools_too_many_times():
         remember_format.assert_called()
 
 
-@pytest.mark.vcr(filter_headers=["authorization"])
+@pytest.mark.vcr()
 def test_agent_use_specific_tasks_output_as_context(capsys):
     agent1 = Agent(role="test role", goal="test goal", backstory="test backstory")
     agent2 = Agent(role="test role2", goal="test goal2", backstory="test backstory2")
@@ -902,7 +902,7 @@ def test_agent_use_specific_tasks_output_as_context(capsys):
     assert "hi" in result.raw.lower() or "hello" in result.raw.lower()
 
 
-@pytest.mark.vcr(filter_headers=["authorization"])
+@pytest.mark.vcr()
 def test_agent_step_callback():
     class StepCallback:
         def callback(self, step):
@@ -936,7 +936,7 @@ def test_agent_step_callback():
         callback.assert_called()
 
 
-@pytest.mark.vcr(filter_headers=["authorization"])
+@pytest.mark.vcr()
 def test_agent_function_calling_llm():
     from crewai.llm import LLM
     llm = LLM(model="gpt-4o", is_litellm=True)
@@ -983,7 +983,7 @@ def test_agent_function_calling_llm():
         mock_original_tool_calling.assert_called()
 
 
-@pytest.mark.vcr(filter_headers=["authorization"])
+@pytest.mark.vcr()
 def test_tool_result_as_answer_is_the_final_answer_for_the_agent():
     from crewai.tools import BaseTool
 
@@ -1013,7 +1013,7 @@ def test_tool_result_as_answer_is_the_final_answer_for_the_agent():
     assert result.raw == "Howdy!"
 
 
-@pytest.mark.vcr(filter_headers=["authorization"])
+@pytest.mark.vcr()
 def test_tool_usage_information_is_appended_to_agent():
     from crewai.tools import BaseTool
 
@@ -1068,7 +1068,7 @@ def test_agent_definition_based_on_dict():
 
 
 # test for human input
-@pytest.mark.vcr(filter_headers=["authorization"])
+@pytest.mark.vcr()
 def test_agent_human_input():
     # Agent configuration
     config = {
@@ -1216,7 +1216,7 @@ Thought:<|eot_id|>
         assert mock_format_prompt.return_value == expected_prompt
 
 
-@pytest.mark.vcr(filter_headers=["authorization"])
+@pytest.mark.vcr()
 def test_task_allow_crewai_trigger_context():
     from crewai import Crew
 
@@ -1237,7 +1237,7 @@ def test_task_allow_crewai_trigger_context():
     assert "Trigger Payload: Important context data" in prompt
 
 
-@pytest.mark.vcr(filter_headers=["authorization"])
+@pytest.mark.vcr()
 def test_task_without_allow_crewai_trigger_context():
     from crewai import Crew
 
@@ -1260,7 +1260,7 @@ def test_task_without_allow_crewai_trigger_context():
     assert "Important context data" not in prompt
 
 
-@pytest.mark.vcr(filter_headers=["authorization"])
+@pytest.mark.vcr()
 def test_task_allow_crewai_trigger_context_no_payload():
     from crewai import Crew
 
@@ -1282,7 +1282,7 @@ def test_task_allow_crewai_trigger_context_no_payload():
     assert "Trigger Payload:" not in prompt
 
 
-@pytest.mark.vcr(filter_headers=["authorization"])
+@pytest.mark.vcr()
 def test_do_not_allow_crewai_trigger_context_for_first_task_hierarchical():
     from crewai import Crew
 
@@ -1311,7 +1311,7 @@ def test_do_not_allow_crewai_trigger_context_for_first_task_hierarchical():
     assert "Trigger Payload: Initial context data" not in first_prompt
 
 
-@pytest.mark.vcr(filter_headers=["authorization"])
+@pytest.mark.vcr()
 def test_first_task_auto_inject_trigger():
     from crewai import Crew
 
@@ -1344,7 +1344,7 @@ def test_first_task_auto_inject_trigger():
     assert "Trigger Payload:" not in second_prompt
 
 
-@pytest.mark.vcr(filter_headers=["authorization"])
+@pytest.mark.vcr()
 def test_ensure_first_task_allow_crewai_trigger_context_is_false_does_not_inject():
     from crewai import Crew
 
@@ -1549,7 +1549,7 @@ def test_agent_with_additional_kwargs():
     assert agent.llm.frequency_penalty == 0.1
 
 
-@pytest.mark.vcr(filter_headers=["authorization"])
+@pytest.mark.vcr()
 def test_llm_call():
     llm = LLM(model="gpt-3.5-turbo")
     messages = [{"role": "user", "content": "Say 'Hello, World!'"}]
@@ -1558,7 +1558,7 @@ def test_llm_call():
     assert "Hello, World!" in response
 
 
-@pytest.mark.vcr(filter_headers=["authorization"])
+@pytest.mark.vcr()
 def test_llm_call_with_error():
     llm = LLM(model="non-existent-model")
     messages = [{"role": "user", "content": "This should fail"}]
@@ -1567,7 +1567,7 @@ def test_llm_call_with_error():
         llm.call(messages)
 
 
-@pytest.mark.vcr(filter_headers=["authorization"])
+@pytest.mark.vcr()
 def test_handle_context_length_exceeds_limit():
     # Import necessary modules
     from crewai.utilities.agent_utils import handle_context_length
@@ -1620,7 +1620,7 @@ def test_handle_context_length_exceeds_limit():
         mock_summarize.assert_called_once()
 
 
-@pytest.mark.vcr(filter_headers=["authorization"])
+@pytest.mark.vcr()
 def test_handle_context_length_exceeds_limit_cli_no():
     agent = Agent(
         role="test role",
@@ -1695,7 +1695,7 @@ def test_agent_with_all_llm_attributes():
     assert agent.llm.api_key == "sk-your-api-key-here"
 
 
-@pytest.mark.vcr(filter_headers=["authorization"])
+@pytest.mark.vcr()
 def test_llm_call_with_all_attributes():
     llm = LLM(
         model="gpt-3.5-turbo",
@@ -1712,7 +1712,7 @@ def test_llm_call_with_all_attributes():
     assert "STOP" not in response
 
 
-@pytest.mark.vcr(filter_headers=["authorization"])
+@pytest.mark.vcr()
 def test_agent_with_ollama_llama3():
     agent = Agent(
         role="test role",
@@ -1733,7 +1733,7 @@ def test_agent_with_ollama_llama3():
     assert "Llama3" in response or "AI" in response or "language model" in response
 
 
-@pytest.mark.vcr(filter_headers=["authorization"])
+@pytest.mark.vcr()
 def test_llm_call_with_ollama_llama3():
     llm = LLM(
         model="ollama/llama3.2:3b",
@@ -1752,7 +1752,7 @@ def test_llm_call_with_ollama_llama3():
     assert "Llama3" in response or "AI" in response or "language model" in response
 
 
-@pytest.mark.vcr(filter_headers=["authorization"])
+@pytest.mark.vcr()
 def test_agent_execute_task_basic():
     agent = Agent(
         role="test role",
@@ -1771,7 +1771,7 @@ def test_agent_execute_task_basic():
     assert "4" in result
 
 
-@pytest.mark.vcr(filter_headers=["authorization"])
+@pytest.mark.vcr()
 def test_agent_execute_task_with_context():
     agent = Agent(
         role="test role",
@@ -1793,7 +1793,7 @@ def test_agent_execute_task_with_context():
     assert "fox" in result.lower() and "dog" in result.lower()
 
 
-@pytest.mark.vcr(filter_headers=["authorization"])
+@pytest.mark.vcr()
 def test_agent_execute_task_with_tool():
     @tool
     def dummy_tool(query: str) -> str:
@@ -1818,7 +1818,7 @@ def test_agent_execute_task_with_tool():
     assert "Dummy result for: test query" in result
 
 
-@pytest.mark.vcr(filter_headers=["authorization"])
+@pytest.mark.vcr()
 def test_agent_execute_task_with_custom_llm():
     agent = Agent(
         role="test role",
@@ -1839,7 +1839,7 @@ def test_agent_execute_task_with_custom_llm():
     )
 
 
-@pytest.mark.vcr(filter_headers=["authorization"])
+@pytest.mark.vcr()
 def test_agent_execute_task_with_ollama():
     agent = Agent(
         role="test role",
@@ -1859,7 +1859,7 @@ def test_agent_execute_task_with_ollama():
     assert "AI" in result or "artificial intelligence" in result.lower()
 
 
-@pytest.mark.vcr(filter_headers=["authorization"])
+@pytest.mark.vcr()
 def test_agent_with_knowledge_sources():
     content = "Brandon's favorite color is red and he likes Mexican food."
     string_source = StringKnowledgeSource(content=content)
@@ -1891,7 +1891,7 @@ def test_agent_with_knowledge_sources():
             assert "red" in result.raw.lower()
 
 
-@pytest.mark.vcr(filter_headers=["authorization"])
+@pytest.mark.vcr()
 def test_agent_with_knowledge_sources_with_query_limit_and_score_threshold():
     content = "Brandon's favorite color is red and he likes Mexican food."
     string_source = StringKnowledgeSource(content=content)
@@ -1939,7 +1939,7 @@ def test_agent_with_knowledge_sources_with_query_limit_and_score_threshold():
             )
 
 
-@pytest.mark.vcr(filter_headers=["authorization"])
+@pytest.mark.vcr()
 def test_agent_with_knowledge_sources_with_query_limit_and_score_threshold_default():
     content = "Brandon's favorite color is red and he likes Mexican food."
     string_source = StringKnowledgeSource(content=content)
@@ -1988,7 +1988,7 @@ def test_agent_with_knowledge_sources_with_query_limit_and_score_threshold_defau
             )
 
 
-@pytest.mark.vcr(filter_headers=["authorization"])
+@pytest.mark.vcr()
 def test_agent_with_knowledge_sources_extensive_role():
     content = "Brandon's favorite color is red and he likes Mexican food."
     string_source = StringKnowledgeSource(content=content)
@@ -2024,7 +2024,7 @@ def test_agent_with_knowledge_sources_extensive_role():
         assert "red" in result.raw.lower()
 
 
-@pytest.mark.vcr(filter_headers=["authorization"])
+@pytest.mark.vcr()
 def test_agent_with_knowledge_sources_works_with_copy():
     content = "Brandon's favorite color is red and he likes Mexican food."
     string_source = StringKnowledgeSource(content=content)
@@ -2063,7 +2063,7 @@ def test_agent_with_knowledge_sources_works_with_copy():
             assert isinstance(agent_copy.llm, BaseLLM)
 
 
-@pytest.mark.vcr(filter_headers=["authorization"])
+@pytest.mark.vcr()
 def test_agent_with_knowledge_sources_generate_search_query():
     content = "Brandon's favorite color is red and he likes Mexican food."
     string_source = StringKnowledgeSource(content=content)
@@ -2116,7 +2116,7 @@ def test_agent_with_knowledge_sources_generate_search_query():
         assert "red" in result.raw.lower()
 
 
-@pytest.mark.vcr(record_mode="none", filter_headers=["authorization"])
+@pytest.mark.vcr()
 def test_agent_with_knowledge_with_no_crewai_knowledge():
     mock_knowledge = MagicMock(spec=Knowledge)
 
@@ -2143,7 +2143,7 @@ def test_agent_with_knowledge_with_no_crewai_knowledge():
     mock_knowledge.query.assert_called_once()
 
 
-@pytest.mark.vcr(filter_headers=["authorization"])
+@pytest.mark.vcr()
 def test_agent_with_only_crewai_knowledge():
     mock_knowledge = MagicMock(spec=Knowledge)
 
@@ -2168,7 +2168,7 @@ def test_agent_with_only_crewai_knowledge():
     mock_knowledge.query.assert_called_once()
 
 
-@pytest.mark.vcr(record_mode="none", filter_headers=["authorization"])
+@pytest.mark.vcr()
 def test_agent_knowledege_with_crewai_knowledge():
     crew_knowledge = MagicMock(spec=Knowledge)
     agent_knowledge = MagicMock(spec=Knowledge)
@@ -2197,7 +2197,7 @@ def test_agent_knowledege_with_crewai_knowledge():
     crew_knowledge.query.assert_called_once()
 
 
-@pytest.mark.vcr(filter_headers=["authorization"])
+@pytest.mark.vcr()
 def test_litellm_auth_error_handling():
     """Test that LiteLLM authentication errors are handled correctly and not retried."""
     from litellm import AuthenticationError as LiteLLMAuthenticationError
@@ -2326,7 +2326,7 @@ def test_litellm_anthropic_error_handling():
     mock_llm_call.assert_called_once()
 
 
-@pytest.mark.vcr(filter_headers=["authorization"])
+@pytest.mark.vcr()
 def test_get_knowledge_search_query():
     """Test that _get_knowledge_search_query calls the LLM with the correct prompts."""
     from crewai.utilities.i18n import I18N

lib/crewai/tests/agents/test_lite_agent.py

@@ -70,7 +70,7 @@ class ResearchResult(BaseModel):
     sources: list[str] = Field(description="List of sources used")
 
 
-@pytest.mark.vcr(filter_headers=["authorization"])
+@pytest.mark.vcr()
 @pytest.mark.parametrize("verbose", [True, False])
 def test_lite_agent_created_with_correct_parameters(monkeypatch, verbose):
     """Test that LiteAgent is created with the correct parameters when Agent.kickoff() is called."""
@@ -130,7 +130,7 @@ def test_lite_agent_created_with_correct_parameters(monkeypatch, verbose):
     assert created_lite_agent["response_format"] == TestResponse
 
 
-@pytest.mark.vcr(filter_headers=["authorization"])
+@pytest.mark.vcr()
 def test_lite_agent_with_tools():
     """Test that Agent can use tools."""
     # Create a LiteAgent with tools
@@ -174,7 +174,7 @@ def test_lite_agent_with_tools():
     assert event.tool_name == "search_web"
 
 
-@pytest.mark.vcr(filter_headers=["authorization"])
+@pytest.mark.vcr()
 def test_lite_agent_structured_output():
     """Test that Agent can return a simple structured output."""
 
@@ -217,7 +217,7 @@ def test_lite_agent_structured_output():
     return result
 
 
-@pytest.mark.vcr(filter_headers=["authorization"])
+@pytest.mark.vcr()
 def test_lite_agent_returns_usage_metrics():
     """Test that LiteAgent returns usage metrics."""
     llm = LLM(model="gpt-4o-mini")
@@ -238,7 +238,7 @@ def test_lite_agent_returns_usage_metrics():
     assert result.usage_metrics["total_tokens"] > 0
 
 
-@pytest.mark.vcr(filter_headers=["authorization"])
+@pytest.mark.vcr()
 def test_lite_agent_output_includes_messages():
     """Test that LiteAgentOutput includes messages from agent execution."""
     llm = LLM(model="gpt-4o-mini")
@@ -259,7 +259,7 @@ def test_lite_agent_output_includes_messages():
     assert len(result.messages) > 0
 
 
-@pytest.mark.vcr(filter_headers=["authorization"])
+@pytest.mark.vcr()
 @pytest.mark.asyncio
 async def test_lite_agent_returns_usage_metrics_async():
     """Test that LiteAgent returns usage metrics when run asynchronously."""
@@ -354,9 +354,9 @@ def test_sets_parent_flow_when_inside_flow():
     assert captured_agent.parent_flow is flow
 
 
-@pytest.mark.vcr(filter_headers=["authorization"])
+@pytest.mark.vcr()
 def test_guardrail_is_called_using_string():
-    guardrail_events = defaultdict(list)
+    guardrail_events: dict[str, list] = defaultdict(list)
     from crewai.events.event_types import (
         LLMGuardrailCompletedEvent,
         LLMGuardrailStartedEvent,
@@ -369,35 +369,33 @@ def test_guardrail_is_called_using_string():
         guardrail="""Only include Brazilian players, both women and men""",
     )
 
-    all_events_received = threading.Event()
+    condition = threading.Condition()
 
     @crewai_event_bus.on(LLMGuardrailStartedEvent)
     def capture_guardrail_started(source, event):
         assert isinstance(source, LiteAgent)
         assert source.original_agent == agent
-        guardrail_events["started"].append(event)
-        if (
-            len(guardrail_events["started"]) == 2
-            and len(guardrail_events["completed"]) == 2
-        ):
-            all_events_received.set()
+        with condition:
+            guardrail_events["started"].append(event)
+            condition.notify()
 
     @crewai_event_bus.on(LLMGuardrailCompletedEvent)
     def capture_guardrail_completed(source, event):
         assert isinstance(source, LiteAgent)
         assert source.original_agent == agent
-        guardrail_events["completed"].append(event)
-        if (
-            len(guardrail_events["started"]) == 2
-            and len(guardrail_events["completed"]) == 2
-        ):
-            all_events_received.set()
+        with condition:
+            guardrail_events["completed"].append(event)
+            condition.notify()
 
     result = agent.kickoff(messages="Top 10 best players in the world?")
 
-    assert all_events_received.wait(timeout=10), (
-        "Timeout waiting for all guardrail events"
-    )
+    with condition:
+        success = condition.wait_for(
+            lambda: len(guardrail_events["started"]) >= 2
+            and len(guardrail_events["completed"]) >= 2,
+            timeout=10,
+        )
+    assert success, "Timeout waiting for all guardrail events"
     assert len(guardrail_events["started"]) == 2
     assert len(guardrail_events["completed"]) == 2
     assert not guardrail_events["completed"][0].success
@@ -408,33 +406,27 @@ def test_guardrail_is_called_using_string():
     )
 
 
-@pytest.mark.vcr(filter_headers=["authorization"])
+@pytest.mark.vcr()
 def test_guardrail_is_called_using_callable():
-    guardrail_events = defaultdict(list)
+    guardrail_events: dict[str, list] = defaultdict(list)
     from crewai.events.event_types import (
         LLMGuardrailCompletedEvent,
         LLMGuardrailStartedEvent,
     )
 
-    all_events_received = threading.Event()
+    condition = threading.Condition()
 
     @crewai_event_bus.on(LLMGuardrailStartedEvent)
     def capture_guardrail_started(source, event):
-        guardrail_events["started"].append(event)
-        if (
-            len(guardrail_events["started"]) == 1
-            and len(guardrail_events["completed"]) == 1
-        ):
-            all_events_received.set()
+        with condition:
+            guardrail_events["started"].append(event)
+            condition.notify()
 
     @crewai_event_bus.on(LLMGuardrailCompletedEvent)
     def capture_guardrail_completed(source, event):
-        guardrail_events["completed"].append(event)
-        if (
-            len(guardrail_events["started"]) == 1
-            and len(guardrail_events["completed"]) == 1
-        ):
-            all_events_received.set()
+        with condition:
+            guardrail_events["completed"].append(event)
+            condition.notify()
 
     agent = Agent(
         role="Sports Analyst",
@@ -445,42 +437,40 @@ def test_guardrail_is_called_using_callable():
 
     result = agent.kickoff(messages="Top 1 best players in the world?")
 
-    assert all_events_received.wait(timeout=10), (
-        "Timeout waiting for all guardrail events"
-    )
+    with condition:
+        success = condition.wait_for(
+            lambda: len(guardrail_events["started"]) >= 1
+            and len(guardrail_events["completed"]) >= 1,
+            timeout=10,
+        )
+    assert success, "Timeout waiting for all guardrail events"
     assert len(guardrail_events["started"]) == 1
     assert len(guardrail_events["completed"]) == 1
     assert guardrail_events["completed"][0].success
     assert "Pelé - Santos, 1958" in result.raw
 
 
-@pytest.mark.vcr(filter_headers=["authorization"])
+@pytest.mark.vcr()
 def test_guardrail_reached_attempt_limit():
-    guardrail_events = defaultdict(list)
+    guardrail_events: dict[str, list] = defaultdict(list)
     from crewai.events.event_types import (
         LLMGuardrailCompletedEvent,
         LLMGuardrailStartedEvent,
     )
 
-    all_events_received = threading.Event()
+    condition = threading.Condition()
 
     @crewai_event_bus.on(LLMGuardrailStartedEvent)
     def capture_guardrail_started(source, event):
-        guardrail_events["started"].append(event)
-        if (
-            len(guardrail_events["started"]) == 3
-            and len(guardrail_events["completed"]) == 3
-        ):
-            all_events_received.set()
+        with condition:
+            guardrail_events["started"].append(event)
+            condition.notify()
 
     @crewai_event_bus.on(LLMGuardrailCompletedEvent)
     def capture_guardrail_completed(source, event):
-        guardrail_events["completed"].append(event)
-        if (
-            len(guardrail_events["started"]) == 3
-            and len(guardrail_events["completed"]) == 3
-        ):
-            all_events_received.set()
+        with condition:
+            guardrail_events["completed"].append(event)
+            condition.notify()
 
     agent = Agent(
         role="Sports Analyst",
@@ -498,9 +488,13 @@ def test_guardrail_reached_attempt_limit():
     ):
         agent.kickoff(messages="Top 10 best players in the world?")
 
-    assert all_events_received.wait(timeout=10), (
-        "Timeout waiting for all guardrail events"
-    )
+    with condition:
+        success = condition.wait_for(
+            lambda: len(guardrail_events["started"]) >= 3
+            and len(guardrail_events["completed"]) >= 3,
+            timeout=10,
+        )
+    assert success, "Timeout waiting for all guardrail events"
     assert len(guardrail_events["started"]) == 3  # 2 retries + 1 initial call
     assert len(guardrail_events["completed"]) == 3  # 2 retries + 1 initial call
     assert not guardrail_events["completed"][0].success
@@ -508,7 +502,7 @@ def test_guardrail_reached_attempt_limit():
     assert not guardrail_events["completed"][2].success
 
 
-@pytest.mark.vcr(filter_headers=["authorization"])
+@pytest.mark.vcr()
 def test_agent_output_when_guardrail_returns_base_model():
     class Player(BaseModel):
         name: str
@@ -599,7 +593,7 @@ def test_lite_agent_with_custom_llm_and_guardrails():
     assert result2.raw == "Modified by guardrail"
 
 
-@pytest.mark.vcr(filter_headers=["authorization"])
+@pytest.mark.vcr()
 def test_lite_agent_with_invalid_llm():
     """Test that LiteAgent raises proper error when create_llm returns None."""
     with patch("crewai.lite_agent.create_llm", return_value=None):
@@ -615,7 +609,7 @@ def test_lite_agent_with_invalid_llm():
 
 @patch.dict("os.environ", {"CREWAI_PLATFORM_INTEGRATION_TOKEN": "test_token"})
 @patch("crewai_tools.tools.crewai_platform_tools.crewai_platform_tool_builder.requests.get")
-@pytest.mark.vcr(filter_headers=["authorization"])
+@pytest.mark.vcr()
 def test_agent_kickoff_with_platform_tools(mock_get):
     """Test that Agent.kickoff() properly integrates platform tools with LiteAgent"""
     mock_response = Mock()
@@ -657,7 +651,7 @@ def test_agent_kickoff_with_platform_tools(mock_get):
 
 @patch.dict("os.environ", {"EXA_API_KEY": "test_exa_key"})
 @patch("crewai.agent.Agent._get_external_mcp_tools")
-@pytest.mark.vcr(filter_headers=["authorization"])
+@pytest.mark.vcr()
 def test_agent_kickoff_with_mcp_tools(mock_get_mcp_tools):
     """Test that Agent.kickoff() properly integrates MCP tools with LiteAgent"""
     # Setup mock MCP tools - create a proper BaseTool instance

lib/crewai/tests/cassettes/TestTraceListenerSetup.test_trace_listener_ephemeral_batch.yaml

@@ -1,126 +0,0 @@
-interactions:
-- request:
-    body: '{"messages": [{"role": "system", "content": "You are Test Agent. Test backstory\nYour
-      personal goal is: Test goal\nTo give my best complete final answer to the task
-      respond using the exact following format:\n\nThought: I now can give a great
-      answer\nFinal Answer: Your final answer must be the great and the most complete
-      as possible, it must be outcome described.\n\nI MUST use these formats, my job
-      depends on it!"}, {"role": "user", "content": "\nCurrent Task: Say hello to
-      the world\n\nThis is the expected criteria for your final answer: hello world\nyou
-      MUST return the actual complete content as the final answer, not a summary.\n\nBegin!
-      This is VERY important to you, use the tools available and give your best Final
-      Answer, your job depends on it!\n\nThought:"}], "model": "gpt-4o-mini", "stop":
-      ["\nObservation:"]}'
-    headers:
-      accept:
-      - application/json
-      accept-encoding:
-      - gzip, deflate, zstd
-      connection:
-      - keep-alive
-      content-length:
-      - '825'
-      content-type:
-      - application/json
-      host:
-      - api.openai.com
-      user-agent:
-      - OpenAI/Python 1.93.0
-      x-stainless-arch:
-      - arm64
-      x-stainless-async:
-      - 'false'
-      x-stainless-lang:
-      - python
-      x-stainless-os:
-      - MacOS
-      x-stainless-package-version:
-      - 1.93.0
-      x-stainless-raw-response:
-      - 'true'
-      x-stainless-read-timeout:
-      - '600.0'
-      x-stainless-retry-count:
-      - '0'
-      x-stainless-runtime:
-      - CPython
-      x-stainless-runtime-version:
-      - 3.12.9
-    method: POST
-    uri: https://api.openai.com/v1/chat/completions
-  response:
-    body:
-      string: !!binary |
-        H4sIAAAAAAAAAwAAAP//jFJdi9swEHz3r1j0HBc7ZydXvx1HC0evhT6UUtrDKNLa1lXWqpJ8aTjy
-        34vsXOz0A/pi8M7OaGZ3nxMApiSrgImOB9Fbnd4Why/v79HeePeD37/Zfdx8evf5+rY4fNjdPbJV
-        ZNDuEUV4Yb0S1FuNQZGZYOGQB4yq+bYsr7J1nhcj0JNEHWmtDWlBaa+MStfZukizbZpfn9gdKYGe
-        VfA1AQB4Hr/Rp5H4k1WQrV4qPXrPW2TVuQmAOdKxwrj3ygduAlvNoCAT0IzW78DQHgQ30KonBA5t
-        tA3c+D06gG/mrTJcw834X0GHWhPsyWm5FHTYDJ7HUGbQegFwYyjwOJQxysMJOZ7Na2qto53/jcoa
-        ZZTvaofck4lGfSDLRvSYADyMQxoucjPrqLehDvQdx+fycjvpsXk3C/TqBAYKXC/q29NoL/VqiYEr
-        7RdjZoKLDuVMnXfCB6loASSL1H+6+Zv2lFyZ9n/kZ0AItAFlbR1KJS4Tz20O4+n+q+085dEw8+ie
-        lMA6KHRxExIbPujpoJg/+IB93SjTorNOTVfV2LrcZLzZYFm+Zskx+QUAAP//AwB1vYZ+YwMAAA==
-    headers:
-      CF-RAY:
-      - 96fc9f29dea3cf1f-SJC
-      Connection:
-      - keep-alive
-      Content-Encoding:
-      - gzip
-      Content-Type:
-      - application/json
-      Date:
-      - Fri, 15 Aug 2025 23:55:15 GMT
-      Server:
-      - cloudflare
-      Set-Cookie:
-      - __cf_bm=oA9oTa3cE0ZaEUDRf0hCpnarSAQKzrVUhl6qDS4j09w-1755302115-1.0.1.1-gUUDl4ZqvBQkg7244DTwOmSiDUT2z_AiQu0P1xUaABjaufSpZuIlI5G0H7OSnW.ldypvpxjj45NGWesJ62M_2U7r20tHz_gMmDFw6D5ZiNc;
-        path=/; expires=Sat, 16-Aug-25 00:25:15 GMT; domain=.api.openai.com; HttpOnly;
-        Secure; SameSite=None
-      - _cfuvid=ICenEGMmOE5jaOjwD30bAOwrF8.XRbSIKTBl1EyWs0o-1755302115700-0.0.1.1-604800000;
-        path=/; domain=.api.openai.com; HttpOnly; Secure; SameSite=None
-      Strict-Transport-Security:
-      - max-age=31536000; includeSubDomains; preload
-      Transfer-Encoding:
-      - chunked
-      X-Content-Type-Options:
-      - nosniff
-      access-control-expose-headers:
-      - X-Request-ID
-      alt-svc:
-      - h3=":443"; ma=86400
-      cf-cache-status:
-      - DYNAMIC
-      openai-organization:
-      - crewai-iuxna1
-      openai-processing-ms:
-      - '735'
-      openai-project:
-      - proj_xitITlrFeen7zjNSzML82h9x
-      openai-version:
-      - '2020-10-01'
-      x-envoy-upstream-service-time:
-      - '753'
-      x-ratelimit-limit-project-tokens:
-      - '150000000'
-      x-ratelimit-limit-requests:
-      - '30000'
-      x-ratelimit-limit-tokens:
-      - '150000000'
-      x-ratelimit-remaining-project-tokens:
-      - '149999830'
-      x-ratelimit-remaining-requests:
-      - '29999'
-      x-ratelimit-remaining-tokens:
-      - '149999827'
-      x-ratelimit-reset-project-tokens:
-      - 0s
-      x-ratelimit-reset-requests:
-      - 2ms
-      x-ratelimit-reset-tokens:
-      - 0s
-      x-request-id:
-      - req_212fde9d945a462ba0d89ea856131dce
-    status:
-      code: 200
-      message: OK
-version: 1

lib/crewai/tests/cassettes/agents/test_task_allow_crewai_trigger_context_no_payload.yaml

@@ -0,0 +1,211 @@
+interactions:
+- request:
+    body: '{"trace_id": "4d0d2b51-d83a-4054-b41e-8c2d17baa88f", "execution_type":
+      "crew", "user_identifier": null, "execution_context": {"crew_fingerprint": null,
+      "crew_name": "crew", "flow_name": null, "crewai_version": "1.6.0", "privacy_level":
+      "standard"}, "execution_metadata": {"expected_duration_estimate": 300, "agent_count":
+      0, "task_count": 0, "flow_method_count": 0, "execution_started_at": "2025-11-29T02:50:39.376314+00:00"},
+      "ephemeral_trace_id": "4d0d2b51-d83a-4054-b41e-8c2d17baa88f"}'
+    headers:
+      Accept:
+      - '*/*'
+      Accept-Encoding:
+      - gzip, deflate
+      Connection:
+      - keep-alive
+      Content-Length:
+      - '488'
+      Content-Type:
+      - application/json
+      User-Agent:
+      - CrewAI-CLI/1.6.0
+      X-Crewai-Version:
+      - 1.6.0
+      authorization:
+      - AUTHORIZATION-XXX
+    method: POST
+    uri: https://app.crewai.com/crewai_plus/api/v1/tracing/ephemeral/batches
+  response:
+    body:
+      string: '{"id":"71726285-2e63-4d2a-b4c4-4bbd0ff6a9f1","ephemeral_trace_id":"4d0d2b51-d83a-4054-b41e-8c2d17baa88f","execution_type":"crew","crew_name":"crew","flow_name":null,"status":"running","duration_ms":null,"crewai_version":"1.6.0","total_events":0,"execution_context":{"crew_fingerprint":null,"crew_name":"crew","flow_name":null,"crewai_version":"1.6.0","privacy_level":"standard"},"created_at":"2025-11-29T02:50:39.931Z","updated_at":"2025-11-29T02:50:39.931Z","access_code":"TRACE-bf7f3f49b3","user_identifier":null}'
+    headers:
+      Connection:
+      - keep-alive
+      Content-Length:
+      - '515'
+      Content-Type:
+      - application/json; charset=utf-8
+      Date:
+      - Sat, 29 Nov 2025 02:50:39 GMT
+      cache-control:
+      - no-store
+      content-security-policy:
+      - CSP-FILTERED
+      etag:
+      - ETAG-XXX
+      expires:
+      - '0'
+      permissions-policy:
+      - PERMISSIONS-POLICY-XXX
+      pragma:
+      - no-cache
+      referrer-policy:
+      - REFERRER-POLICY-XXX
+      strict-transport-security:
+      - STS-XXX
+      vary:
+      - Accept
+      x-content-type-options:
+      - X-CONTENT-TYPE-XXX
+      x-frame-options:
+      - X-FRAME-OPTIONS-XXX
+      x-permitted-cross-domain-policies:
+      - X-PERMITTED-XXX
+      x-request-id:
+      - X-REQUEST-ID-XXX
+      x-runtime:
+      - X-RUNTIME-XXX
+      x-xss-protection:
+      - X-XSS-PROTECTION-XXX
+    status:
+      code: 201
+      message: Created
+- request:
+    body: '{"messages":[{"role":"system","content":"You are test role. test backstory\nYour
+      personal goal is: test goal\nTo give my best complete final answer to the task
+      respond using the exact following format:\n\nThought: I now can give a great
+      answer\nFinal Answer: Your final answer must be the great and the most complete
+      as possible, it must be outcome described.\n\nI MUST use these formats, my job
+      depends on it!"},{"role":"user","content":"\nCurrent Task: Analyze the data\n\nThis
+      is the expected criteria for your final answer: Analysis report\nyou MUST return
+      the actual complete content as the final answer, not a summary.\n\nBegin! This
+      is VERY important to you, use the tools available and give your best Final Answer,
+      your job depends on it!\n\nThought:"}],"model":"gpt-4.1-mini"}'
+    headers:
+      accept:
+      - application/json
+      accept-encoding:
+      - gzip, deflate
+      authorization:
+      - AUTHORIZATION-XXX
+      connection:
+      - keep-alive
+      content-length:
+      - '785'
+      content-type:
+      - application/json
+      host:
+      - api.openai.com
+      user-agent:
+      - OpenAI/Python 1.109.1
+      x-stainless-arch:
+      - X-STAINLESS-ARCH-XXX
+      x-stainless-async:
+      - 'false'
+      x-stainless-lang:
+      - python
+      x-stainless-os:
+      - X-STAINLESS-OS-XXX
+      x-stainless-package-version:
+      - 1.109.1
+      x-stainless-read-timeout:
+      - X-STAINLESS-READ-TIMEOUT-XXX
+      x-stainless-retry-count:
+      - '0'
+      x-stainless-runtime:
+      - CPython
+      x-stainless-runtime-version:
+      - 3.12.10
+    method: POST
+    uri: https://api.openai.com/v1/chat/completions
+  response:
+    body:
+      string: !!binary |
+        H4sIAAAAAAAAAwAAAP//jFbbbhtHDH33VxD71AKyECeynegtdW9uiiZI3AJpXRj0DHeXzSxnO5yV
+        ohT594Kzq5WcpEBfdBkOycPDy/CfE4CKfbWGyrWYXdeH06v2/EX7li7T5uenL364rH/6NUn+/Ze/
+        3nP99mW1MI14/xe5vNdautj1gTJHGcUuEWYyq2eXF6snT1cXT54VQRc9BVNr+ny6Wp6ddix8+vjR
+        4/PTR6vTs9Wk3kZ2pNUa/jgBAPinfBpQ8fS+WsOjxf6kI1VsqFrPlwCqFIOdVKjKmlFytTgIXZRM
+        UrDftHFo2ryGa5C4BYcCDW8IEBoLAFB0S+lWvmfBAM/LvzXcyq08Fww7ZYXX1MeU7ehsCdeSU/SD
+        MyJu5aYlyKjvINHfAydSQMhtTOYTcG8g1pBbKn4FPGZcwk2EPsUNe0Ni1CZqSdSQpeJuUVTsMrSo
+        cE8koDvN1GFmhyHsINGGaUt+AVvOLWC2mDkK5AieMnIAFA+JAm1QHNl5/gRwR5J1abE9XsK35u3l
+        hpLZvZU3bEoSQXtyXLMb4WxR99g9sBSTfYpdXzCzTgEAqg5dYaQhobRXV8p7SHmPyMCQZqhjmlkz
+        qgEF0OUBA6gjwcRxMVrpI0tW0MG1gAoydOYBA2wwDKQLcJipiYntd+aOQGn8ExPE3FKCDSbG+0AK
+        2zgEb867guYej5I2BlMYejIx9CpFR6osza2cjkdXgVBYmjV8JzokluaQPlaoExHUKXbA4qJYxZK4
+        AqfjYmnGbRmjlGKyrEzWX6YGhT+gJXcNV1NkH0zNrmtOg8uj1+LRaKS6JpdLpe8Jne39xjpgmA3+
+        WgC4FlPWYrBJ2LdqyWFvJVXvICcSP0p7K7QkCl9xDdj3gZ3R+HXhaLWEuW9uyLXCltnimdQl7guk
+        Nxkza2anFk5wQyhQjPOOUBbQkefyHT0twPrbY/LgacO4L/FBPKUiAkeSEwbIJJ7E7QpOz9pTUo5S
+        Ir+xCGZwa7geQ2M3ux76rTmJCXzcSvk9hR03lMYqsnrnjk7Hahqb2axfxZRoiuLg46ol987I3cu0
+        5d6aOW+tnz3XNSWSfKjFQuL5Er5n8SxNYe4F7eDVRPr6wOMIWrmREoXkQ2YsfJTYYTCQU4/OWK9F
+        uWmzcSCZUp8ozxyU+jlK9rbFbNo74K4Pu6L/KpZBgwGucFDSNfy4662nlBSijIkJO4u7RpdjMgh1
+        GKzkjxqjhHqxhKsoLgyWpxLtm6HrMO1KLSAL1BMTI/SulFuhspS5GauZQknb/aAspApl/r/PI+3k
+        92NmZuA1udh1JP7IUj2kMhbQjVwkYNmQZm7KpYL2cgk/c8cjXQXtc9mZN80Jy0AicXEwVsnPwymY
+        Cvlp/LnY02hdh7pmx5b/aVxz15v7PUnU59Z4OOrgW3m6hOd9T+Lt+Sw9+NlU/rpUZOnnBeRSV+Ng
+        Gd0YtH0DYoA45H6YHoFvyFlKzX0im1yfTf+Hk5/14eifn7zpDYhDDpaSEk9HuY0+htjsHswtOsz9
+        D/MMm+dX2C3hut4/A/uJihvkYJEtygjaTZwpgWbqFbYcAuxKYeAh7NIXJb+m+inawsB34o3y6eR4
+        qUhUD4q22cgQwpEAReJUErbO/DlJPs4LTIhNn+K9fqJa1Sys7V0i1Ci2rGiOfVWkH08A/iyL0vBg
+        96lGuu9yfEfF3dn5+WivOixoB+mTp88maY4Zw0FwvlotvmDwbqRKj3atyqFryR9UD4sZDp7jkeDk
+        KOzP4XzJ9hg6S/N/zB8EzlGfyd/1iTy7hyEfriWyBfa/rs00F8CV2tbj6C4zJUuFpxqHMG6V1bh4
+        3dUsjc1LHlfLur97dnlxQeerZ/ePq5OPJ/8CAAD//wMAwDPj9GkLAAA=
+    headers:
+      CF-RAY:
+      - CF-RAY-XXX
+      Connection:
+      - keep-alive
+      Content-Encoding:
+      - gzip
+      Content-Type:
+      - application/json
+      Date:
+      - Sat, 29 Nov 2025 02:50:45 GMT
+      Server:
+      - cloudflare
+      Set-Cookie:
+      - SET-COOKIE-XXX
+      Strict-Transport-Security:
+      - STS-XXX
+      Transfer-Encoding:
+      - chunked
+      X-Content-Type-Options:
+      - X-CONTENT-TYPE-XXX
+      access-control-expose-headers:
+      - ACCESS-CONTROL-XXX
+      alt-svc:
+      - h3=":443"; ma=86400
+      cf-cache-status:
+      - DYNAMIC
+      openai-organization:
+      - OPENAI-ORG-XXX
+      openai-processing-ms:
+      - '5125'
+      openai-project:
+      - OPENAI-PROJECT-XXX
+      openai-version:
+      - '2020-10-01'
+      x-envoy-upstream-service-time:
+      - '5227'
+      x-openai-proxy-wasm:
+      - v0.1
+      x-ratelimit-limit-project-tokens:
+      - '150000000'
+      x-ratelimit-limit-requests:
+      - X-RATELIMIT-LIMIT-REQUESTS-XXX
+      x-ratelimit-limit-tokens:
+      - X-RATELIMIT-LIMIT-TOKENS-XXX
+      x-ratelimit-remaining-project-tokens:
+      - '149999830'
+      x-ratelimit-remaining-requests:
+      - X-RATELIMIT-REMAINING-REQUESTS-XXX
+      x-ratelimit-remaining-tokens:
+      - X-RATELIMIT-REMAINING-TOKENS-XXX
+      x-ratelimit-reset-project-tokens:
+      - 0s
+      x-ratelimit-reset-requests:
+      - X-RATELIMIT-RESET-REQUESTS-XXX
+      x-ratelimit-reset-tokens:
+      - X-RATELIMIT-RESET-TOKENS-XXX
+      x-request-id:
+      - X-REQUEST-ID-XXX
+    status:
+      code: 200
+      message: OK
+version: 1

lib/crewai/tests/cassettes/telemetry/test_telemetry_fails_due_connect_timeout.yaml

@@ -50,9 +50,9 @@ interactions:
       Date:
       - Mon, 05 May 2025 18:37:34 GMT
       Permissions-Policy:
-      - publickey-credentials-create=(self),publickey-credentials-get=(self),accelerometer=(),ambient-light-sensor=(),autoplay=(),battery=(),camera=(),display-capture=(),document-domain=(),encrypted-media=(),execution-while-not-rendered=(),execution-while-out-of-viewport=(),fullscreen=(),gamepad=(),geolocation=(),gyroscope=(),hid=(),identity-credentials-get=(),idle-detection=(),local-fonts=(),magnetometer=(),microphone=(),midi=(),otp-credentials=(),payment=(),picture-in-picture=(),screen-wake-lock=(),serial=(),speaker-selection=(),storage-access=(),usb=(),web-share=(),xr-spatial-tracking=()
+      - PERMISSIONS-POLICY-XXX
       Strict-Transport-Security:
-      - max-age=31536000; includeSubDomains; preload
+      - STS-XXX
       Vary:
       - Accept-Encoding
       X-Cache:
@@ -60,11 +60,11 @@ interactions:
       X-Cache-Hits:
       - 0, 34, 0
       X-Content-Type-Options:
-      - nosniff
+      - X-CONTENT-TYPE-XXX
       X-Frame-Options:
-      - deny
+      - X-FRAME-OPTIONS-XXX
       X-Permitted-Cross-Domain-Policies:
-      - none
+      - X-PERMITTED-XXX
       X-Served-By:
       - cache-iad-kjyo7100160-IAD, cache-iad-kjyo7100044-IAD, cache-gru-sbsp2090079-GRU
       X-Timer:
@@ -78,32 +78,19 @@ interactions:
       access-control-allow-origin:
       - '*'
       access-control-expose-headers:
-      - X-PyPI-Last-Serial
+      - ACCESS-CONTROL-XXX
       access-control-max-age:
       - '86400'
       cache-control:
       - max-age=900, public
       content-security-policy:
-      - base-uri 'self'; connect-src 'self' https://api.github.com/repos/ https://api.github.com/search/issues
-        https://gitlab.com/api/ https://analytics.python.org fastly-insights.com *.fastly-insights.com
-        *.ethicalads.io https://api.pwnedpasswords.com https://cdn.jsdelivr.net/npm/mathjax@3.2.2/es5/sre/mathmaps/
-        https://2p66nmmycsj3.statuspage.io; default-src 'none'; font-src 'self' fonts.gstatic.com;
-        form-action 'self' https://checkout.stripe.com; frame-ancestors 'none'; frame-src
-        'none'; img-src 'self' https://pypi-camo.freetls.fastly.net/ *.fastly-insights.com
-        *.ethicalads.io ethicalads.blob.core.windows.net; script-src 'self' https://analytics.python.org
-        *.fastly-insights.com *.ethicalads.io 'sha256-U3hKDidudIaxBDEzwGJApJgPEf2mWk6cfMWghrAa6i0='
-        https://cdn.jsdelivr.net/npm/mathjax@3.2.2/ 'sha256-1CldwzdEg2k1wTmf7s5RWVd7NMXI/7nxxjJM2C4DqII='
-        'sha256-0POaN8stWYQxhzjKS+/eOfbbJ/u4YHO5ZagJvLpMypo='; style-src 'self' fonts.googleapis.com
-        *.ethicalads.io 'sha256-2YHqZokjiizkHi1Zt+6ar0XJ0OeEy/egBnlm+MDMtrM=' 'sha256-47DEQpj8HBSa+/TImW+5JCeuQeRkm5NMpJWZG3hSuFU='
-        'sha256-JLEjeN9e5dGsz5475WyRaoA4eQOdNPxDIeUhclnJDCE=' 'sha256-mQyxHEuwZJqpxCw3SLmc4YOySNKXunyu2Oiz1r3/wAE='
-        'sha256-OCf+kv5Asiwp++8PIevKBYSgnNLNUZvxAp4a7wMLuKA=' 'sha256-h5LOiLhk6wiJrGsG5ItM0KimwzWQH/yAcmoJDJL//bY=';
-        worker-src *.fastly-insights.com
+      - CSP-FILTERED
       content-type:
       - application/json
       etag:
-      - '"ggQSbqfOWm/rak+86bKvfA"'
+      - ETAG-XXX
       referrer-policy:
-      - origin-when-cross-origin
+      - REFERRER-POLICY-XXX
       x-pypi-last-serial:
       - '28851779'
     status:
@@ -137,19 +124,19 @@ interactions:
       user-agent:
       - OpenAI/Python 1.75.0
       x-stainless-arch:
-      - arm64
+      - X-STAINLESS-ARCH-XXX
       x-stainless-async:
       - 'false'
       x-stainless-lang:
       - python
       x-stainless-os:
-      - MacOS
+      - X-STAINLESS-OS-XXX
       x-stainless-package-version:
       - 1.75.0
       x-stainless-raw-response:
       - 'true'
       x-stainless-read-timeout:
-      - '600.0'
+      - X-STAINLESS-READ-TIMEOUT-XXX
       x-stainless-retry-count:
       - '0'
       x-stainless-runtime:
@@ -173,7 +160,7 @@ interactions:
       \"default\",\n  \"system_fingerprint\": \"fp_dbaca60df0\"\n}\n"
     headers:
       CF-RAY:
-      - 93b259955a50a166-GRU
+      - CF-RAY-XXX
       Connection:
       - keep-alive
       Content-Encoding:
@@ -187,35 +174,229 @@ interactions:
       Transfer-Encoding:
       - chunked
       X-Content-Type-Options:
-      - nosniff
+      - X-CONTENT-TYPE-XXX
       access-control-expose-headers:
-      - X-Request-ID
+      - ACCESS-CONTROL-XXX
       alt-svc:
       - h3=":443"; ma=86400
       cf-cache-status:
       - DYNAMIC
       openai-organization:
-      - crewai-iuxna1
+      - OPENAI-ORG-XXX
       openai-processing-ms:
       - '333'
       openai-version:
       - '2020-10-01'
       strict-transport-security:
-      - max-age=31536000; includeSubDomains; preload
+      - STS-XXX
       x-ratelimit-limit-requests:
-      - '30000'
+      - X-RATELIMIT-LIMIT-REQUESTS-XXX
       x-ratelimit-limit-tokens:
-      - '150000000'
+      - X-RATELIMIT-LIMIT-TOKENS-XXX
       x-ratelimit-remaining-requests:
-      - '29999'
+      - X-RATELIMIT-REMAINING-REQUESTS-XXX
       x-ratelimit-remaining-tokens:
-      - '149999826'
+      - X-RATELIMIT-REMAINING-TOKENS-XXX
       x-ratelimit-reset-requests:
-      - 2ms
+      - X-RATELIMIT-RESET-REQUESTS-XXX
       x-ratelimit-reset-tokens:
-      - 0s
+      - X-RATELIMIT-RESET-TOKENS-XXX
       x-request-id:
-      - req_1821906e2f17a712ceb213bd130355ee
+      - X-REQUEST-ID-XXX
     http_version: HTTP/1.1
     status_code: 200
+- request:
+    body: '{"trace_id": "1b96b2cd-2b52-4507-b7ac-4ba5452e3614", "execution_type":
+      "crew", "user_identifier": null, "execution_context": {"crew_fingerprint": null,
+      "crew_name": "TestCrew", "flow_name": null, "crewai_version": "1.6.0", "privacy_level":
+      "standard"}, "execution_metadata": {"expected_duration_estimate": 300, "agent_count":
+      0, "task_count": 0, "flow_method_count": 0, "execution_started_at": "2025-11-28T22:38:09.909251+00:00"},
+      "ephemeral_trace_id": "1b96b2cd-2b52-4507-b7ac-4ba5452e3614"}'
+    headers:
+      Accept:
+      - '*/*'
+      Accept-Encoding:
+      - gzip, deflate
+      Connection:
+      - keep-alive
+      Content-Length:
+      - '492'
+      Content-Type:
+      - application/json
+      User-Agent:
+      - CrewAI-CLI/1.6.0
+      X-Crewai-Organization-Id:
+      - 73c2b193-f579-422c-84c7-76a39a1da77f
+      X-Crewai-Version:
+      - 1.6.0
+      authorization:
+      - AUTHORIZATION-XXX
+    method: POST
+    uri: https://app.crewai.com/crewai_plus/api/v1/tracing/ephemeral/batches
+  response:
+    body:
+      string: '{"id":"adab193e-2496-4b41-83df-da4901c39502","ephemeral_trace_id":"1b96b2cd-2b52-4507-b7ac-4ba5452e3614","execution_type":"crew","crew_name":"TestCrew","flow_name":null,"status":"running","duration_ms":null,"crewai_version":"1.6.0","total_events":0,"execution_context":{"crew_fingerprint":null,"crew_name":"TestCrew","flow_name":null,"crewai_version":"1.6.0","privacy_level":"standard"},"created_at":"2025-11-28T22:38:10.222Z","updated_at":"2025-11-28T22:38:10.222Z","access_code":"TRACE-ab608edfd9","user_identifier":null}'
+    headers:
+      Connection:
+      - keep-alive
+      Content-Length:
+      - '523'
+      Content-Type:
+      - application/json; charset=utf-8
+      Date:
+      - Fri, 28 Nov 2025 22:38:10 GMT
+      cache-control:
+      - no-store
+      content-security-policy:
+      - CSP-FILTERED
+      etag:
+      - ETAG-XXX
+      expires:
+      - '0'
+      permissions-policy:
+      - PERMISSIONS-POLICY-XXX
+      pragma:
+      - no-cache
+      referrer-policy:
+      - REFERRER-POLICY-XXX
+      strict-transport-security:
+      - STS-XXX
+      vary:
+      - Accept
+      x-content-type-options:
+      - X-CONTENT-TYPE-XXX
+      x-frame-options:
+      - X-FRAME-OPTIONS-XXX
+      x-permitted-cross-domain-policies:
+      - X-PERMITTED-XXX
+      x-request-id:
+      - X-REQUEST-ID-XXX
+      x-runtime:
+      - X-RUNTIME-XXX
+      x-xss-protection:
+      - X-XSS-PROTECTION-XXX
+    status:
+      code: 201
+      message: Created
+- request:
+    body: '{"messages":[{"role":"system","content":"You are agent. You are a helpful
+      assistant that just says hi\nYour personal goal is: Just say hi\nTo give my
+      best complete final answer to the task respond using the exact following format:\n\nThought:
+      I now can give a great answer\nFinal Answer: Your final answer must be the great
+      and the most complete as possible, it must be outcome described.\n\nI MUST use
+      these formats, my job depends on it!"},{"role":"user","content":"\nCurrent Task:
+      Just say hi\n\nThis is the expected criteria for your final answer: hi\nyou
+      MUST return the actual complete content as the final answer, not a summary.\n\nBegin!
+      This is VERY important to you, use the tools available and give your best Final
+      Answer, your job depends on it!\n\nThought:"}],"model":"gpt-4o-mini"}'
+    headers:
+      accept:
+      - application/json
+      accept-encoding:
+      - gzip, deflate
+      authorization:
+      - AUTHORIZATION-XXX
+      connection:
+      - keep-alive
+      content-length:
+      - '795'
+      content-type:
+      - application/json
+      host:
+      - api.openai.com
+      user-agent:
+      - OpenAI/Python 1.109.1
+      x-stainless-arch:
+      - X-STAINLESS-ARCH-XXX
+      x-stainless-async:
+      - 'false'
+      x-stainless-lang:
+      - python
+      x-stainless-os:
+      - X-STAINLESS-OS-XXX
+      x-stainless-package-version:
+      - 1.109.1
+      x-stainless-read-timeout:
+      - X-STAINLESS-READ-TIMEOUT-XXX
+      x-stainless-retry-count:
+      - '0'
+      x-stainless-runtime:
+      - CPython
+      x-stainless-runtime-version:
+      - 3.12.10
+    method: POST
+    uri: https://api.openai.com/v1/chat/completions
+  response:
+    body:
+      string: !!binary |
+        H4sIAAAAAAAAAwAAAP//jFJNb9swDL37VxA614OdeUnj21BgH9iKHXfYCoORaVubLAkS3XQo8t8H
+        KWnsdCvQiwHz8T29R/IxAxCqFTUIOSDL0en8Zii/3X5/uP00VviF/WZ/89HpXTVeT6X7Kq4iw+5+
+        keQn1htpR6eJlTVHWHpCpqhabtbV2/W22hYJGG1LOtJ6x3ll81EZla+KVZUXm7y8PrEHqyQFUcOP
+        DADgMX2jT9PSg6ghaaXKSCFgT6I+NwEIb3WsCAxBBUbD4moGpTVMJln/DMbuQaKBXt0TIPTRNqAJ
+        e/IAP80HZVDD+/Rfw6CWOp66KWDMYiatFwAaYxnjLFKCuxNyOHvWtnfe7sIzquiUUWFoPGGwJvoL
+        bJ1I6CEDuEuzmS7iCuft6Lhh+5vSc+X6NBsxr2SBrk4gW0a9qG+egAu9piVGpcNiukKiHKidqfMq
+        cGqVXQDZIvW/bv6nfUyuTP8a+RmQkhxT2zhPrZKXiec2T/FiX2o7TzkZFoH8vZLUsCIfN9FSh5M+
+        3pEIfwLT2HTK9OSdV8dj6lzzrtgW626FKEV2yP4CAAD//wMAQ/5zVVoDAAA=
+    headers:
+      CF-RAY:
+      - CF-RAY-XXX
+      Connection:
+      - keep-alive
+      Content-Encoding:
+      - gzip
+      Content-Type:
+      - application/json
+      Date:
+      - Fri, 28 Nov 2025 22:38:11 GMT
+      Server:
+      - cloudflare
+      Set-Cookie:
+      - SET-COOKIE-XXX
+      Strict-Transport-Security:
+      - STS-XXX
+      Transfer-Encoding:
+      - chunked
+      X-Content-Type-Options:
+      - X-CONTENT-TYPE-XXX
+      access-control-expose-headers:
+      - ACCESS-CONTROL-XXX
+      alt-svc:
+      - h3=":443"; ma=86400
+      cf-cache-status:
+      - DYNAMIC
+      openai-organization:
+      - OPENAI-ORG-XXX
+      openai-processing-ms:
+      - '520'
+      openai-project:
+      - OPENAI-PROJECT-XXX
+      openai-version:
+      - '2020-10-01'
+      x-envoy-upstream-service-time:
+      - '690'
+      x-openai-proxy-wasm:
+      - v0.1
+      x-ratelimit-limit-project-tokens:
+      - '150000000'
+      x-ratelimit-limit-requests:
+      - X-RATELIMIT-LIMIT-REQUESTS-XXX
+      x-ratelimit-limit-tokens:
+      - X-RATELIMIT-LIMIT-TOKENS-XXX
+      x-ratelimit-remaining-project-tokens:
+      - '149999825'
+      x-ratelimit-remaining-requests:
+      - X-RATELIMIT-REMAINING-REQUESTS-XXX
+      x-ratelimit-remaining-tokens:
+      - X-RATELIMIT-REMAINING-TOKENS-XXX
+      x-ratelimit-reset-project-tokens:
+      - 0s
+      x-ratelimit-reset-requests:
+      - X-RATELIMIT-RESET-REQUESTS-XXX
+      x-ratelimit-reset-tokens:
+      - X-RATELIMIT-RESET-TOKENS-XXX
+      x-request-id:
+      - X-REQUEST-ID-XXX
+    status:
+      code: 200
+      message: OK
 version: 1

lib/crewai/tests/cassettes/test_gemini_models[gemini-gemini-2.0-flash-001].yaml

@@ -1,33 +1,38 @@
 interactions:
 - request:
-    body: '{"contents": [{"role": "user", "parts": [{"text": "What is the capital
-      of France?"}]}], "generationConfig": {"stop_sequences": []}}'
+    body: '{"contents": [{"parts": [{"text": "What is the capital of France?"}], "role":
+      "user"}], "generationConfig": {}}'
     headers:
-      accept:
+      Accept:
       - '*/*'
-      accept-encoding:
-      - gzip, deflate
-      connection:
+      Accept-Encoding:
+      - gzip, deflate, zstd
+      Connection:
       - keep-alive
-      content-length:
-      - '131'
-      content-type:
+      Content-Length:
+      - '111'
+      Content-Type:
       - application/json
-      host:
-      - generativelanguage.googleapis.com
       user-agent:
-      - litellm/1.60.2
+      - google-genai-sdk/1.2.0 gl-python/3.12.9
+      x-goog-api-client:
+      - google-genai-sdk/1.2.0 gl-python/3.12.9
+      x-goog-api-key:
+      - X-GOOG-API-KEY-XXX
     method: POST
     uri: https://generativelanguage.googleapis.com/v1beta/models/gemini-2.0-flash-001:generateContent
   response:
     body:
-      string: !!binary |
-        H4sIAAAAAAAC/62RTU+EMBCG7/0VTY9kIQUT1vXqx0njRokxUQ8jDNAILaFdoyH8dwssbNGrTdo0
-        807nnT7TEUpZCjITGRjU7IK+2Ail3XgOmpIGpbHCHLLBBlpzyp1W59xtisGv4RFLSqQpNMJARVVO
-        b1qQKVKhqeftoRXa84JXyZy3/XJ/25wcW1XhUK5WGVZzej8nsFxIocsHBK3kkPaY3O/ZosJncauK
-        plXvQ9M+D3gUxiE/tzs6i+JtyHdkth5N2UFDgXdowFKB5e/Mlqgbk6gPlJfqMFLZTi4Ow5W8O8pG
-        WQArJYw3f4rqK2spKhetQ93+HSphvkes188Jc/iYVU8zH+Jg/N3hP3nt1l7kOJVpUE/YajFNpMDa
-        zsiPAu7nFejS5zxkpCc/6so6tIECAAA=
+      string: "{\n  \"candidates\": [\n    {\n      \"content\": {\n        \"parts\":
+        [\n          {\n            \"text\": \"The capital of France is **Paris**.\\n\"\n
+        \         }\n        ],\n        \"role\": \"model\"\n      },\n      \"finishReason\":
+        \"STOP\",\n      \"avgLogprobs\": -0.021610861023267109\n    }\n  ],\n  \"usageMetadata\":
+        {\n    \"promptTokenCount\": 7,\n    \"candidatesTokenCount\": 9,\n    \"totalTokenCount\":
+        16,\n    \"promptTokensDetails\": [\n      {\n        \"modality\": \"TEXT\",\n
+        \       \"tokenCount\": 7\n      }\n    ],\n    \"candidatesTokensDetails\":
+        [\n      {\n        \"modality\": \"TEXT\",\n        \"tokenCount\": 9\n      }\n
+        \   ]\n  },\n  \"modelVersion\": \"gemini-2.0-flash-001\",\n  \"responseId\":
+        \"wVIradyDDo_h_uMPlNSt4Qw\"\n}\n"
     headers:
       Alt-Svc:
       - h3=":443"; ma=2592000,h3-29=":443"; ma=2592000
@@ -36,11 +41,11 @@ interactions:
       Content-Type:
       - application/json; charset=UTF-8
       Date:
-      - Tue, 22 Apr 2025 14:25:05 GMT
+      - Sat, 29 Nov 2025 20:08:33 GMT
       Server:
       - scaffolding on HTTPServer2
       Server-Timing:
-      - gfet4t7; dur=1219
+      - gfet4t7; dur=337
       Transfer-Encoding:
       - chunked
       Vary:
@@ -48,9 +53,9 @@ interactions:
       - X-Origin
       - Referer
       X-Content-Type-Options:
-      - nosniff
+      - X-CONTENT-TYPE-XXX
       X-Frame-Options:
-      - SAMEORIGIN
+      - X-FRAME-OPTIONS-XXX
       X-XSS-Protection:
       - '0'
     status:

lib/crewai/tests/cassettes/test_gemini_models[gemini-gemini-2.0-flash-lite-001].yaml

@@ -1,33 +1,38 @@
 interactions:
 - request:
-    body: '{"contents": [{"role": "user", "parts": [{"text": "What is the capital
-      of France?"}]}], "generationConfig": {"stop_sequences": []}}'
+    body: '{"contents": [{"parts": [{"text": "What is the capital of France?"}], "role":
+      "user"}], "generationConfig": {}}'
     headers:
-      accept:
+      Accept:
       - '*/*'
-      accept-encoding:
-      - gzip, deflate
-      connection:
+      Accept-Encoding:
+      - gzip, deflate, zstd
+      Connection:
       - keep-alive
-      content-length:
-      - '131'
-      content-type:
+      Content-Length:
+      - '111'
+      Content-Type:
       - application/json
-      host:
-      - generativelanguage.googleapis.com
       user-agent:
-      - litellm/1.60.2
+      - google-genai-sdk/1.2.0 gl-python/3.12.9
+      x-goog-api-client:
+      - google-genai-sdk/1.2.0 gl-python/3.12.9
+      x-goog-api-key:
+      - X-GOOG-API-KEY-XXX
     method: POST
     uri: https://generativelanguage.googleapis.com/v1beta/models/gemini-2.0-flash-lite-001:generateContent
   response:
     body:
-      string: !!binary |
-        H4sIAAAAAAAC/61RTU+EMBC98yuanhdSiMjq1Y+Txo0SY6J7GGGARmhJ2zUawn+3wMIWvdpDM5n3
-        Zt7Mm84jhGYgcp6DQU0vyavNENKN/4BJYVAYC8wpm2xBmRN3ep0TW4rBr6GIphWSDFpuoCayILcK
-        RIaEa7IDxXXwJqhT1y/xfnNSU7LGoVUjc6xnej8TaMEF19UjgpZioD2lDzu6oPBZ3smyVfJ9GNhn
-        AQuTMIpjFl/EZyxKwuTcm6VHUXrQUOI9GrCOwLI3tS2a1qTyA8WVPIyOJJOK498K3h5hI+3yKySM
-        N3+a6msryWvXVsdxuzvU3HyPlt68pNTxx6xmmv3xHBt/T/hPWtu1lne8ynSoZ1SaTxcpsbE38qOA
-        +UUNuvJtd/QZC6nXez+t5iqFggIAAA==
+      string: "{\n  \"candidates\": [\n    {\n      \"content\": {\n        \"parts\":
+        [\n          {\n            \"text\": \"The capital of France is Paris.\\n\"\n
+        \         }\n        ],\n        \"role\": \"model\"\n      },\n      \"finishReason\":
+        \"STOP\",\n      \"avgLogprobs\": -0.13051052391529083\n    }\n  ],\n  \"usageMetadata\":
+        {\n    \"promptTokenCount\": 7,\n    \"candidatesTokenCount\": 8,\n    \"totalTokenCount\":
+        15,\n    \"promptTokensDetails\": [\n      {\n        \"modality\": \"TEXT\",\n
+        \       \"tokenCount\": 7\n      }\n    ],\n    \"candidatesTokensDetails\":
+        [\n      {\n        \"modality\": \"TEXT\",\n        \"tokenCount\": 8\n      }\n
+        \   ]\n  },\n  \"modelVersion\": \"gemini-2.0-flash-lite-001\",\n  \"responseId\":
+        \"xVIradGLA4SajrEPj4CmyQg\"\n}\n"
     headers:
       Alt-Svc:
       - h3=":443"; ma=2592000,h3-29=":443"; ma=2592000
@@ -36,11 +41,11 @@ interactions:
       Content-Type:
       - application/json; charset=UTF-8
       Date:
-      - Tue, 22 Apr 2025 14:25:06 GMT
+      - Sat, 29 Nov 2025 20:08:37 GMT
       Server:
       - scaffolding on HTTPServer2
       Server-Timing:
-      - gfet4t7; dur=1090
+      - gfet4t7; dur=301
       Transfer-Encoding:
       - chunked
       Vary:
@@ -48,9 +53,9 @@ interactions:
       - X-Origin
       - Referer
       X-Content-Type-Options:
-      - nosniff
+      - X-CONTENT-TYPE-XXX
       X-Frame-Options:
-      - SAMEORIGIN
+      - X-FRAME-OPTIONS-XXX
       X-XSS-Protection:
       - '0'
     status:

lib/crewai/tests/cassettes/test_gemini_models[gemini-gemini-2.0-flash-thinking-exp-01-21].yaml

@@ -1,32 +1,36 @@
 interactions:
 - request:
-    body: '{"contents": [{"role": "user", "parts": [{"text": "What is the capital
-      of France?"}]}], "generationConfig": {"stop_sequences": []}}'
+    body: '{"contents": [{"parts": [{"text": "What is the capital of France?"}], "role":
+      "user"}], "generationConfig": {}}'
     headers:
-      accept:
+      Accept:
       - '*/*'
-      accept-encoding:
-      - gzip, deflate
-      connection:
+      Accept-Encoding:
+      - gzip, deflate, zstd
+      Connection:
       - keep-alive
-      content-length:
-      - '131'
-      content-type:
+      Content-Length:
+      - '111'
+      Content-Type:
       - application/json
-      host:
-      - generativelanguage.googleapis.com
       user-agent:
-      - litellm/1.60.2
+      - google-genai-sdk/1.2.0 gl-python/3.12.9
+      x-goog-api-client:
+      - google-genai-sdk/1.2.0 gl-python/3.12.9
+      x-goog-api-key:
+      - X-GOOG-API-KEY-XXX
     method: POST
     uri: https://generativelanguage.googleapis.com/v1beta/models/gemini-2.0-flash-thinking-exp-01-21:generateContent
   response:
     body:
-      string: !!binary |
-        H4sIAAAAAAAC/22QQWuEMBCF7/6KkKNsFt1DKb2221vp0koplD0M66jDxkSSWbCI/71Rq+vS5pCE
-        eW9meF8XCSFPYHLKgdHLB/EVKkJ04z1o1jAaDsJcCsUGHF+90+lW/2BhbIcmmVUoTtAQgxa2EM8O
-        zAkFeRHHB3Dk43grV5398j9urvuc1TgMq22Oerb3s0EWZMhXbwjemsH2nr0e5KKSybEN5SSaF4yj
-        5cVDiS/IEJLDkk82ztYNZ/aM5tFexuT306wVp39ltiHkjZLebf4M9U9hJek1vhXZkBA08feIbv+Z
-        yRUFvlk6UxjfY/TLY0L0gc7TxKLEOtBRu22iCg2+UlyROZMpFbaNSlK1S2XURz/Fy1P+CAIAAA==
+      string: "{\n  \"candidates\": [\n    {\n      \"content\": {\n        \"parts\":
+        [\n          {\n            \"text\": \"The capital of France is **Paris**.\"\n
+        \         }\n        ],\n        \"role\": \"model\"\n      },\n      \"finishReason\":
+        \"STOP\",\n      \"index\": 0\n    }\n  ],\n  \"usageMetadata\": {\n    \"promptTokenCount\":
+        8,\n    \"candidatesTokenCount\": 8,\n    \"totalTokenCount\": 41,\n    \"promptTokensDetails\":
+        [\n      {\n        \"modality\": \"TEXT\",\n        \"tokenCount\": 8\n      }\n
+        \   ],\n    \"thoughtsTokenCount\": 25\n  },\n  \"modelVersion\": \"models/gemini-2.5-flash-preview-05-20\",\n
+        \ \"responseId\": \"xFIrafO6NLO2jrEPrPTzwAY\"\n}\n"
     headers:
       Alt-Svc:
       - h3=":443"; ma=2592000,h3-29=":443"; ma=2592000
@@ -35,11 +39,11 @@ interactions:
       Content-Type:
       - application/json; charset=UTF-8
       Date:
-      - Tue, 22 Apr 2025 14:25:04 GMT
+      - Sat, 29 Nov 2025 20:08:36 GMT
       Server:
       - scaffolding on HTTPServer2
       Server-Timing:
-      - gfet4t7; dur=764
+      - gfet4t7; dur=509
       Transfer-Encoding:
       - chunked
       Vary:
@@ -47,9 +51,9 @@ interactions:
       - X-Origin
       - Referer
       X-Content-Type-Options:
-      - nosniff
+      - X-CONTENT-TYPE-XXX
       X-Frame-Options:
-      - SAMEORIGIN
+      - X-FRAME-OPTIONS-XXX
       X-XSS-Protection:
       - '0'
     status:

lib/crewai/tests/cassettes/test_gemini_models[gemini-gemini-2.5-flash-preview-04-17].yaml

@@ -1,59 +0,0 @@
-interactions:
-- request:
-    body: '{"contents": [{"role": "user", "parts": [{"text": "What is the capital
-      of France?"}]}], "generationConfig": {"stop_sequences": []}}'
-    headers:
-      accept:
-      - '*/*'
-      accept-encoding:
-      - gzip, deflate
-      connection:
-      - keep-alive
-      content-length:
-      - '131'
-      content-type:
-      - application/json
-      host:
-      - generativelanguage.googleapis.com
-      user-agent:
-      - litellm/1.60.2
-    method: POST
-    uri: https://generativelanguage.googleapis.com/v1beta/models/gemini-2.5-flash-preview-04-17:generateContent
-  response:
-    body:
-      string: !!binary |
-        H4sIAAAAAAAC/2WQT0+EMBDF7/0UTY9k2ewaDerVPzfjRokxMR4mMEBjaUk76BrCd7fAslvcHppm
-        5s2bvl/HOBcZ6FzmQOjELf/wFc678R56RhNq8o255IsNWDppp9MFby8h3A9DIq2QZ9BIAsVNwR8t
-        6Ay5dDyKdmCli6K1CCb74/tzddpnjcLBrDY5qlnezwJRSC1d9YLgjB5kr+nzThy7Uue49+UNmxeM
-        1qJ1UOITEvjkcMwnGmvqhlLzhfrOtGPy68kr4LRoJzeHPhmfcjmZrM5c3b3fKVXIL0DrI4KS9Duy
-        e3hPRYCBFtYzBhbQElSZtqzo3we37IBrIviG1skJVYm1hxdfrK/iQoGr4sbit8SfeHMZbxPBevYH
-        O2bXiSICAAA=
-    headers:
-      Alt-Svc:
-      - h3=":443"; ma=2592000,h3-29=":443"; ma=2592000
-      Content-Encoding:
-      - gzip
-      Content-Type:
-      - application/json; charset=UTF-8
-      Date:
-      - Tue, 22 Apr 2025 14:25:28 GMT
-      Server:
-      - scaffolding on HTTPServer2
-      Server-Timing:
-      - gfet4t7; dur=20971
-      Transfer-Encoding:
-      - chunked
-      Vary:
-      - Origin
-      - X-Origin
-      - Referer
-      X-Content-Type-Options:
-      - nosniff
-      X-Frame-Options:
-      - SAMEORIGIN
-      X-XSS-Protection:
-      - '0'
-    status:
-      code: 200
-      message: OK
-version: 1

lib/crewai/tests/cassettes/test_gemini_models[gemini-gemini-2.5-pro-exp-03-25].yaml

@@ -1,59 +0,0 @@
-interactions:
-- request:
-    body: '{"contents": [{"role": "user", "parts": [{"text": "What is the capital
-      of France?"}]}], "generationConfig": {"stop_sequences": []}}'
-    headers:
-      accept:
-      - '*/*'
-      accept-encoding:
-      - gzip, deflate
-      connection:
-      - keep-alive
-      content-length:
-      - '131'
-      content-type:
-      - application/json
-      host:
-      - generativelanguage.googleapis.com
-      user-agent:
-      - litellm/1.60.2
-    method: POST
-    uri: https://generativelanguage.googleapis.com/v1beta/models/gemini-2.5-pro-exp-03-25:generateContent
-  response:
-    body:
-      string: !!binary |
-        H4sIAAAAAAAC/12QT2uEMBDF7/kUIUepi2tZaHttu7fSpZVSKD0MOquhmkgygkX87o26cWM9SJj3
-        5s/7DYxzkYMqZAGEVjzwL1fhfJj/k6YVoSIn+JIrtmDo6l2+IXg7C2E/NYmsQp5DKwlqrs/8aEDl
-        yKXlUXQCI20U7UTQOa7v75vrPqNrnIY1usDa20dvEGeppK3eEKxWk+09ez2JVZWqwN6VE+YXzKNF
-        Z6HEFyRwyWHNJ1qjm5Yy/YPqUXdz8rtlVsBpI++T5GIg7WL+03xzMNc+ua2yDgkGcF1IqCX9zvSe
-        PzMRgKDNWR4EC3gJqnRXVrQ98T5lF2ALww80Vi6wSmwcvjjdHWJ3Yox9Gye3cXoQbGR/TedYqx4C
-        AAA=
-    headers:
-      Alt-Svc:
-      - h3=":443"; ma=2592000,h3-29=":443"; ma=2592000
-      Content-Encoding:
-      - gzip
-      Content-Type:
-      - application/json; charset=UTF-8
-      Date:
-      - Tue, 22 Apr 2025 14:25:30 GMT
-      Server:
-      - scaffolding on HTTPServer2
-      Server-Timing:
-      - gfet4t7; dur=2418
-      Transfer-Encoding:
-      - chunked
-      Vary:
-      - Origin
-      - X-Origin
-      - Referer
-      X-Content-Type-Options:
-      - nosniff
-      X-Frame-Options:
-      - SAMEORIGIN
-      X-XSS-Protection:
-      - '0'
-    status:
-      code: 200
-      message: OK
-version: 1

lib/crewai/tests/cassettes/test_gemini_models[gemini-gemini-3-pro-preview].yaml

@@ -1,43 +1,37 @@
 interactions:
 - request:
-    body: '{"contents":[{"role":"user","parts":[{"text":"What is the capital of France?"}]}],"generationConfig":{"stop_sequences":[]}}'
+    body: '{"contents": [{"parts": [{"text": "What is the capital of France?"}], "role":
+      "user"}], "generationConfig": {}}'
     headers:
-      accept:
+      Accept:
       - '*/*'
-      accept-encoding:
-      - gzip, deflate
-      connection:
+      Accept-Encoding:
+      - gzip, deflate, zstd
+      Connection:
       - keep-alive
-      content-length:
-      - '123'
-      content-type:
+      Content-Length:
+      - '111'
+      Content-Type:
       - application/json
-      host:
-      - generativelanguage.googleapis.com
       user-agent:
-      - litellm/1.78.5
+      - google-genai-sdk/1.2.0 gl-python/3.12.9
+      x-goog-api-client:
+      - google-genai-sdk/1.2.0 gl-python/3.12.9
+      x-goog-api-key:
+      - X-GOOG-API-KEY-XXX
     method: POST
     uri: https://generativelanguage.googleapis.com/v1beta/models/gemini-3-pro-preview:generateContent
   response:
     body:
-      string: !!binary |
-        H4sIAAAAAAAC/21UW4+iSBh9719heGxmBgFvbDIPgKAgNwUV3OxDCSWU3KFApdP/fWl77XF2l6RI
-        5ftOnVN1ku+8vQwGhA+yAAUAw5r4Y/BnXxkM3u7/j16eYZjhvvEo9cUCVPgX9vN7e9r3EAyvH4cI
-        J4IDHxQIg2SQnwZyBTIfDlA9eH21QIXq19cfxLd/HY3yJoywjcIM4KaCHzRSvZbEWpL4YIlRytG8
-        a3eoGiukHPHm3jH2FNvMTC1qLlgS05RL42PVyPMdz1uFHpQuytZSBqcHf7PexMHK3mjJQjWKIbM+
-        MxFL6cvWMMfQFsOJ3UQk5j1hWmoxK1DrLqncyrpcQ+UY0uZog2oqkTmXiQ2f27ZBpS58MXBTxRbX
-        qdfsl25Vn5tswrUHeVhVxenW7kaG0cKdt2hjjxPUBYY26BAUvbqqw30AoG0eTMmzdImnIrI51+VY
-        xeqUl/HKs8ZgfBPF0bbtMDjMzxZSkv3KNuJgwTlYMkw9YEyKMcfkRvUmkiPpBqL486niJEuQKtE7
-        XibhpJy1AltrXSrjq+iEucKfK5z43Ci6bTu+VIVuRNecmwRN2gnbqQHH6lQ06eNM5ttpwEjZVOI3
-        umesM9qbcxMySprtbDYXaboQdioPMpuEy3U4VZrM6njN0rAk8Fh3/ON+E58FJPDtxD8upIWTbI/D
-        MrqM7RWj7VWo6kMFUgaj5Dpzsg8bE6GoIc+rJEcnau8qGNnZygGNcRO61nD5sXgyWbUQ+Z4XQhrX
-        3C6UyS2OTHAp2cUJVp0eSZqtyTuTy48XjmW0xLJVYRqYYmSZhatQ45ROKPZiXTZTxiq2ceDPIhii
-        7tBurqtSL7ylp5NRw5FUzJXsLkiRJs1BIi05Oxit51ToBF2oTGOvYTXjfJptR62SVdTB7W5aaJzq
-        nb9adAVFIii3gZE5Qz87C+ViVKa3eJ2f4pyiSzasywoHJA2klNL01IIYX6o55V8n3BUc8vKagLIp
-        d/pRZoatSfor/yx4bAYp/udP4mlc3r/2f/2aIqLKk/vUpHkAkwf8/QEgTihDdbSBoM6zD5jtmNbX
-        EBIoC+C1Lw9fHgJ3aqKpQQh1iEGfFOArD4iiytMCO3kMMzFv7kkx++R6ypX/beO8D4XfOvSI/vYf
-        1nrea6LkOW+eoqh/IkgQvt2zRnKdpzDpBZ5VHza8PLn1yJrfL0gz45d//Pq0cAerGn16FcK0d+87
-        +72/Yb9gi+DlrklUsC7yrIZK8IHbeV4/2Sy/LL9r50a3aquVZ2uPeHl/+RvdmjG6dAUAAA==
+      string: "{\n  \"candidates\": [\n    {\n      \"content\": {\n        \"parts\":
+        [\n          {\n            \"text\": \"The capital of France is **Paris**.\",\n
+        \           \"thoughtSignature\": \"ErYDCrMDAXLI2nxqP91JUT+ukOUiDfsRxJMh6wlKuN3qt7oHYxuFdQN2p6cbogULRi6Ucri5UsdVdc8y3/RaOMRs1gWnh8SGeb81k1PcI+vSZZ3Cl6pyD8Ajn39AZ1YaFFrLan4cpIbliO1Goj8FjW2TF2z4zOXdg52a0hrvi6V4cjfNLCLQazKJ7r4J/P8LOHEQQMdsDte7eD+0p1bPZfNNlTKLeHV9PowZbiGl1UtSVX6Cy7wow6VYMJ4es+PfuOISZe77ksiY8GTkx6fICce9hyIlFNRvU9xwaxwliaK6EXLIcGdXLkfjyGN11+3YwXMxmIQ8g62l0s/GwzmLmjz42aihAHP33YMgmP1L5rY+o0pStwQwavFh9XVKWHrZEJfVCWE615N0dikgWNN/bpICELBPajzlZ5BSR0e9Hm0unbFOwQt54FWPCHfAD1UT+g5pDrqM28mG94BjCmwS0OmsSaI1gl612zk3Q+ZL8UYfNzeiPVFkgTRmbgLXOJqMiC0aBLrLR4cvIiS/Kc5CDttfu6EXMWoXqRGCt1FI7pNjfG9I/QGRVk/KqIauTLauGcEEeGPsB7h5\"\n
+        \         }\n        ],\n        \"role\": \"model\"\n      },\n      \"finishReason\":
+        \"STOP\",\n      \"index\": 0\n    }\n  ],\n  \"usageMetadata\": {\n    \"promptTokenCount\":
+        8,\n    \"candidatesTokenCount\": 8,\n    \"totalTokenCount\": 106,\n    \"promptTokensDetails\":
+        [\n      {\n        \"modality\": \"TEXT\",\n        \"tokenCount\": 8\n      }\n
+        \   ],\n    \"thoughtsTokenCount\": 90\n  },\n  \"modelVersion\": \"gemini-3-pro-preview\",\n
+        \ \"responseId\": \"xFIrafrxEOag_uMP_ayUwA0\"\n}\n"
     headers:
       Alt-Svc:
       - h3=":443"; ma=2592000,h3-29=":443"; ma=2592000
@@ -46,11 +40,11 @@ interactions:
       Content-Type:
       - application/json; charset=UTF-8
       Date:
-      - Wed, 19 Nov 2025 08:56:53 GMT
+      - Sat, 29 Nov 2025 20:08:36 GMT
       Server:
       - scaffolding on HTTPServer2
       Server-Timing:
-      - gfet4t7; dur=2508
+      - gfet4t7; dur=2675
       Transfer-Encoding:
       - chunked
       Vary:
@@ -58,9 +52,9 @@ interactions:
       - X-Origin
       - Referer
       X-Content-Type-Options:
-      - nosniff
+      - X-CONTENT-TYPE-XXX
       X-Frame-Options:
-      - SAMEORIGIN
+      - X-FRAME-OPTIONS-XXX
       X-XSS-Protection:
       - '0'
     status:

lib/crewai/tests/cassettes/test_gemma3[gemini-gemma-3-27b-it].yaml

@@ -1,7 +1,6 @@
 interactions:
 - request:
-    body: '{"contents": [{"role": "user", "parts": [{"text": "What is the capital
-      of France?"}]}], "generationConfig": {"stop_sequences": []}}'
+    body: '{"contents":[{"role":"user","parts":[{"text":"What is the capital of France?"}]}],"generationConfig":{"stop_sequences":[]}}'
     headers:
       accept:
       - '*/*'
@@ -10,25 +9,25 @@ interactions:
       connection:
       - keep-alive
       content-length:
-      - '131'
+      - '123'
       content-type:
       - application/json
       host:
       - generativelanguage.googleapis.com
       user-agent:
-      - litellm/1.74.9
+      - litellm/1.80.7
     method: POST
     uri: https://generativelanguage.googleapis.com/v1beta/models/gemma-3-27b-it:generateContent
   response:
     body:
       string: !!binary |
-        H4sIAAAAAAAC/21RwWrbQBC96yuGvRSMFYp7aOktxAnY1MQ0ahtIfJhII3vwalfZGdUpxv/elRQ5
-        CkQL2uXNm7f75h0TAJOjK7hAJTHf4SEiAMfu39a8U3IaCwMUwRqDvnH77zg6R4rSS9tksh1BjjUr
-        WvAl3AR0OQELTCZrDCyTyQU8uke30E8Ce+cPDkofgOO9nIONL6sw7AUs7wk0il1zWZKFzB8oTDvk
-        h2/+BoJVI9RUU4gtHXwZcigIssC+qncUCwIHsrbdWQVKlB17N4W8YWFHfWfeWG0CXbRvapcZ2Tqd
-        z5vp2zCCt9Q6rXxBdqCfBoIp2bHsfhKKdy3tLrtdm3OVXUEvEf6cDBd00qYR3NKKFGMseB6+qUP0
-        opnfk7vyTRfLt17LqI8j/rAyapJ5lGQ7zm4Ua3SAlvVfl9v1fWZGLvWd8uCy2zfJq99+BL8pCPde
-        t1RVmH5JZ1+fUtZOzgSS2juhRdEylvgnw+VTMU/T5bPKmos7nV3+Mskp+Q+x/LCbmwIAAA==
+        H4sIAAAAAAAC/21R70vDMBD93r/iyBehbOIU8ce3oRMmDocWUVQkttf1XJrUXOKUsf/dtLWzgg00
+        4d27l7x76whApFJnlEmHLE7hMSAA6+Zf14x2qF0odFAAK2ndL7f91r1zoDj8rJtEUiCksiInFZgc
+        LqzUKQIxxPFcWuI43oUn/aSnbodhqc1KQ24sULiXUlDhZaW0SwZFSwQXxCaU56ggMSu0gwa5Mv7D
+        Isw8oy8HEFoaeGxTyBASS6asCgwFhhUqVe/kGHLJBRk9gNQTk8a2M/XKeYu79ZvqJXq2Ntvz8+B3
+        GNYorJ2WJkPV0TcdQeSkiYsblGx0TbtNrudiWyWd4WeA96LugkZaeJYLnKGTIRa5Hb6obPDiErNE
+        fWZ8E8txqyWcCSP+t9Jr4vMgSaqfXS/W4EAqcl9NbpP7RPRcuj/Knctmf45+/LYjuEPL1HpdYFnK
+        4cFw/+h1SK6RExa5MppxmtWMy9GxlZkeTQ/frl/8bH6SHZ29jx9EtIm+AdW7QZKbAgAA
     headers:
       Alt-Svc:
       - h3=":443"; ma=2592000,h3-29=":443"; ma=2592000
@@ -37,11 +36,11 @@ interactions:
       Content-Type:
       - application/json; charset=UTF-8
       Date:
-      - Wed, 06 Aug 2025 18:55:33 GMT
+      - Sat, 29 Nov 2025 21:01:27 GMT
       Server:
       - scaffolding on HTTPServer2
       Server-Timing:
-      - gfet4t7; dur=1529
+      - gfet4t7; dur=1410
       Transfer-Encoding:
       - chunked
       Vary:
@@ -49,9 +48,9 @@ interactions:
       - X-Origin
       - Referer
       X-Content-Type-Options:
-      - nosniff
+      - X-CONTENT-TYPE-XXX
       X-Frame-Options:
-      - SAMEORIGIN
+      - X-FRAME-OPTIONS-XXX
       X-XSS-Protection:
       - '0'
     status: